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Record W12505325 · doi:10.1300/j022v16n03_04

An Examination of a Combined Internal-External Employee Assistance Program

2001· article· en· W12505325 on OpenAlexaffabout
Rick Csiernik, Brenda Atkison, Rick Cooper, Jan Devereux, Mary Eming Young

Bibliographic record

VenueEmployee Assistance Quarterly · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsSt Joseph's Health Centre
Fundersnot available
KeywordsRestructuringEmployee assistanceBusinessHealth careWork (physics)Service (business)Public relationsNursingEconomic growthMarketingMedicinePolitical scienceEconomicsFinance

Abstract

fetched live from OpenAlex

Employee Assistance Programs have become integral components of health care institutions throughout North America. Their value in aiding employees and their family members contend with a wide range of work-related personal problems has been widely reported and acknowledged. More recently employee counselling programs have been called upon to also assist with organizational restructuring, particularly in the Canadian health care sector. This article examines the evolution of a hospital-based counselling service during a turbulent period of economic restructuring in the Canadian health care field. The parallel changes faced by the organization and the changes made by the Employee Assistance Program are discussed to demonstrate the importance of Employee Assistance Programs being linked to the unique needs of an organization, its employees, and their family members.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.293
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2001
Admission routes2
Has abstractyes

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